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Analysis of Air Pollution Emission Effects of the Industrial Sector in Hebei Province Based on the Emission Decomposition
WANG Han, ZHANG Jinbo, GUO Huaicheng, ZHANG Wenjie, WANG Shulan
Acta Scientiarum Naturalium Universitatis Pekinensis    2023, 59 (5): 823-832.   DOI: 10.13209/j.0479-8023.2023.048
Abstract119)   HTML    PDF(pc) (870KB)(39)       Save
In order to explore the impact of social, economic and industrial energy factors on air pollution emissions of the industrial sector in Hebei Province, the LMDI model was adopted to decompose the air pollutant emissions of the industrial sector in Hebei Province from 2013 to 2020. Four economic and industrial energy consumption scenarios were set according to the current economic development and pollutant emission trend. The contributions of future socio-economic and industrial energy effects to pollutant emission in Hebei Province by 2035 were predicted under these scenarios. The results show that the industrial structure and energy structure of Hebei Province have been thoroughly adjusted in recent years, and the dependence of economic development on industry has been reduced. The reduction of industrial sector capacity and the elimination of outdated production capacity have achieved remarkable results. Clean use of energy is still an effective means of industrial green and clean transformation. In addition, the current energy structure of the industrial sector still needs to be further adjusted, and the application of new energy and clean energy in the industrial sector is the main adjustment direction in future. The prediction results indicate that the slowdown of gross regional domestic product growth will promote the emission reduction of air pollutants in the industrial sector, and the contribution of the adjustment of industrial and energy structure to the emission reduction of air pollutants in the industrial sector will gradually increase. 
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A Short Text Matching Model Incorporating Contextual Semantic Differences
ZHANG Wenhui, WANG Meiling, HOU Zhirong
Acta Scientiarum Naturalium Universitatis Pekinensis    2023, 59 (1): 30-38.   DOI: 10.13209/j.0479-8023.2022.071
Abstract330)   HTML    PDF(pc) (1580KB)(128)       Save
Short text matching is often unable to accurately obtain the degree of semantic similarity between sentences when the semantic difference of the same wording and the semantic equivalence of the different wording. To solve this problem, the paper proposes a short text matching model which integrates contextual semantic differences. In this model, language models from the BERT series are utilized as a basic matching model, a novel Diff Transformer structure is implemented for extracting difference feature, and a gate mechanism is applied to integrate basic semantic representations and difference feature for a better matching effect. The model achieves the effect of advanced models on Chinese test datasets.
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Future Year Air Quality Attainment Prediction Method Based on Design Value and Relative Response Factor: A Case Study Focusing on Implementation Planning of the 14th Five-Year Plan in Sichuan Province 
HUANG Ran, WANG Xinlu, WANG Cong, DU Yunsong, YAN Bo, ZHANG Wenxian, LUO Bin, ZHANG Wei, HU Yongtao
Acta Scientiarum Naturalium Universitatis Pekinensis    2022, 58 (3): 553-564.   DOI: 10.13209/j.0479-8023.2022.024
Abstract502)   HTML    PDF(pc) (1519KB)(222)       Save
A novel future year air quality attainment prediction method, which is based on the design value of air pollutant concentration and relative response factor (RRF), has been developed to predict pollutant concentration levels under different emission control scenarios. The method first conducts numerical simulations to evaluate the effect of annual meteorological differences among the recent five years on the concentrations of air pollutants. The “typical” year, of which the meteorological condition is the closest to the five-year average, is selected as the base year. The air quality is simulated with the meteorological field and emission scenarios of the base year as the input of model so as to reduce the influence of inter-annual differences in meteorological conditions on the prediction of future pollutant concentration levels. Then it applies the regional air quality model for multiple times to simulate the pollutant concentration levels with different emission inputs that represent base and control emission scenarios. Lastly, it multiplies the design value of pollutant concentrations with the RRF derived from the ratios between the simulated concentrations of the control and base scenarios, to predict the future pollutant levels and to conduct air quality attainment tests. The method is applied to conduct scenario predictions and air quality attainment tests for the cities in Sichuan Province by designing multiple virtual air pollutant emission control scenarios based on the relevant emission reduction policies. The air quality attainment prediction results under different control scenarios, which aim to accomplish the goals of the 14th Five-Year Plan on air quality, can be useful for refining the local implementation strategies for control of air pollution.
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Forecasting Ozone and PM2.5 Pollution Potentials Using Machine Learning Algorithms: A Case Study in Chengdu
WANG Xinlu, HUANG Ran, ZHANG Wenxian, LÜ Baolei, DU Yunsong, ZHANG Wei, LI Bolan, HU Yongtao
Acta Scientiarum Naturalium Universitatis Pekinensis    2021, 57 (5): 938-950.   DOI: 10.13209/j.0479-8023.2021.070
Abstract943)   HTML    PDF(pc) (3951KB)(220)       Save
Potential forecast models have been developed for air pollution of summertime (Apr.–Aug.) ozone and wintertime (Nov.–Feb.) PM2.5 in Chengdu using the multiple linear regression (MLR), back-propagation (BP) neural network (NN) and random forest (RF) algorithms. The key predicting factors for each of the models are selected from various potential factors that may impact the spatiotemporal distribution of pollutions. The models are trained and established with 2016–2018 datasets and evaluated with a data-withheld method and further with independent 2019 dataset. The results show that the MLR, NN and RF models are all capable to accurately predict O3 and PM2.5 pollution potentials in short lead-time (1–3 days) in Chengdu. The models are also found having quite stable performances in medium- and long-term (7–15 days lead time) forecasts. Among the three models, the MLR model performs the best in prediction of O3, while RF model performs the best for PM2.5.
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Implementing Reduced Form Model to Construct Ozone Isopleths and Its Application
DU Yunsong, HUANG Ran, WANG Xinlu, QIN Momei, ZHANG Wenxian, ZHANG Yuzhong, YANG Yao, ZHANG Wei, LUO Bin, HU Yongtao, Armistead G. Russell
Acta Scientiarum Naturalium Universitatis Pekinensis    2021, 57 (2): 311-321.   DOI: 10.13209/j.0479-8023.2020.120
Abstract1095)   HTML    PDF(pc) (4731KB)(196)       Save
An efficient approach to construct ozone isopleths was established. It utilizes both first- and secondorder sensitivity analysis from a regional air quality model to build a reduced form model (RFM) for calculating ozone concentrations that respond to the different levels of nitrogen oxides (NOx) and volatile organic compounds (VOCs) emissions. The approach was applied to the Chengdu Plain area by simulating the ozone concentration and its sensitivities to anthropogenic emissions for August 2018 with adjusted emissions inventory. Ozone isopleth diagrams were plotted for cities in the area. Under the guidance of ozone isopleths, effective ozone control strategies were further suggested for Chengdu city as an example.
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Improving Air Quality Forecast Accuracy in Urumqi-Changji-Shihezi Region Using an Ensemble Deep Learning Approach
ZHANG Bin, LÜ Baolei, WANG Xinlu, ZHANG Wenxian, HU Yongtao
Acta Scientiarum Naturalium Universitatis Pekinensis    2020, 56 (5): 931-938.   DOI: 10.13209/j.0479-8023.2020.070
Abstract1009)   HTML    PDF(pc) (1136KB)(269)       Save
A post-correction framework based on raw forecasts from the numerical air quality model CMAQ is implemented in the Urumqi-Changji-Shihezi region of Xinjiang Autonomous Region to achieve better forecasting performance of PM2.5. An ensemble deep learning method is used to correct the error of original forecasts of CMAQ. The method integrates four machine learning models: deep neural network model, random forest model, gradient boosting model and generalized linear model. In each model, the original meteorological forecasts, air quality forecasts and land use types are used as input data. With the independent evaluation data in 2018, the accuracy of the “bias-corrected” forecasts is significantly improved. The R2 values of the 5-day forecast is 0.41–0.60, which are improved from the original forecasts by 60%–160%, while the RMSE values are reduced by ~40%. As for the cross evaluation, the R2 values of post-corrected results increase by 50%–80%, while RMSE values are reduced by ~30%. The post-correction method is computationally efficient and can be deployed operationally for reliable daily forecasting.
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Responses of Herbaceous Community Characteristics and Biomass to Nitrogen Addition in a Larix principis- rupprechtii Plantation
QU Tiantian, YAN Tao, ZHANG Wen, ZENG Hui
Acta Scientiarum Naturalium Universitatis Pekinensis    2019, 55 (3): 587-596.   DOI: 10.13209/j.0479-8023.2019.023
Abstract1019)   HTML    PDF(pc) (1237KB)(164)       Save
The research was conducted in a sapling Larix principis-rupprechtii, plantation set three nitrogen addition levels (0, 20 and 50 kg N/(ha·a), called N0, N20 and N50), in order to assess the influence of nitrogen addition on plant communities characteristics and above-ground biomass. The results showed that nitrogen addition altered soil micro-environment, reduced soil temperature and significantly increased soil moisture. Nitrogen addition partly promotes the growth of herb community (increased by 6.83% and 6.83% in N20 and N50 in 2014, respectively, compared with the control; while increased by 9.80% and 6.83% in N20 and N50 in 2016, respectively, P>0.05). The community coverage and aboveground biomass were significantly and positively correlated with soil moisture (P<0.05). The diversity and evenness had no significant response to nitrogen addition, but N20 significantly increases the species richness per area (significantly increased by 23.33% in N20 samples in 2014, P<0.05). Nitrogen addition exerted different influences on plant functional groups, i.e., nitrogen addition promoted the growth of polygonaceae and cyperaceae plants, restrained gramineae and compositae plants and had no influence of leguminous plants. The results suggested that herb communities are sensitive to nitrogen addition in temperate Larix principis-rupprechtii plantations, and nitrogen addition partly promotes the growth of herb plants and changes competition among different herbaceous plants functional groups.
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Geochemical Characteristics of Early Cretaceous Shoshonites in the Middle and Western Northern Margin of the North China Craton and A Comparative Study
XU Cao,HE Yuankai,WU Tairan,ZHENG Rongguo,ZHANG Wen,MENG Qingpeng,ZHANG Zhaoyu
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract677)      PDF(pc) (1285KB)(407)       Save
Early Cretaceous potassium-riched alkaline volcanic rocks were discovered in the Suhongtu area, Inner Mongolia. These volcanic rocks display higher total alkaline contents (K2O+Na2O=5.20%~8.92%), K2O/Na2O (K2O/Na2O=0.59~1.03) and TiO2 (1.59%~2.05%) and characteristics of shoshonites series rocks. Chondrite normalized rare earth element patterns and primitive mantle normalized trace element patterns show slightly positive and negative Eu anomalies (δEu=0.88~1.11) and the enrichment of large ion lithophile elements (LILE), light rare earth elements (LREE) and high field strength elements (HFSE). Suhongtu volcanic rocks show similar geochemical characteristics to those of Siziwangqi and Southern Baiyun’ebo volcanic rocks. These volcanic rocks did not experience obvious contamination of crustal materials. Negative Nb and Ta anomalies probably imply the influence of the subducted slab of Paleo-Asian Ocean crust. Trace elements and isotopic analysis indicate that the Suhongtu and Siziwangqi shoshonites magmas were derived from EMⅠ enrichmental asthenosphere mantle altered by materials from the subducted slab of the Paleo-Asian Ocean crust, and the Southern Baiyun’ebo volcanic rocks was from a less-degree enriched source. However, their petrogenesis is similar to the depleted mantle source with various degree of enrichment. In combination with the regional geology, the middle and western part of the north margin of Northern China Craton (NCC), along which Siziwangqi, Southern Baiyun’ebo and Suhongtu volcanic rocks distributed, probably showed an similar extensional environment after orogenic period in Early Cretaceous. After the closure of the Paleo-Asian Ocean in Late Triassic, a NS-trending compressive process developed in the north margin of NCC, which led the thickening of crust and the delamination of lithosphere. Then the remelting of the subducted slab of the Paleo-Asian Ocean crust, and the melt resulted in enrichment of the depleted asthenosphere mantle, and the upwelling and partial melting of the enriched mantle asthenosphere mentle formed EW-distributed Early Cretaceous shoshonites.
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Analysis of Life-Cycle Greenhouse Gas Emission Reduction Potential and Cost for China’s Power Generation Sector
LIAO Xiawei,TAN Qingliang,ZHANG Wen,MA Xiaoming,JI Junping
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract696)      PDF(pc) (425KB)(361)       Save
Based on the relevant planning objectives, life-cycle emission reduction capacities and costs of eight categories of emission reduction technology of China’s power sector are analyzed. The results indicate that the total emission reduction capacity amounts to 2099.0-2070.3 MtCO2e. The emission reductions generated by hydropower and nuclear power are the biggest, accounting for 62.90% to 63.34% together. The total cost is projected to be 330.76 billion RMB. The lowest cost, by hydropower, is -783.0 billion RMB, while the highest, by biomass power, is 168.75 billion RMB. The average unit cost of reducing emissions is between 157.6 to 159.8 RMB/tCO2e. Hydropower and nuclear power have the lowest unit abatement costs, -104.3- -104.8 RMB/tCO2e and 13.2-13.3 RMB/tCO2e respectively, while natural gas power has the highest, 958.8?1598.0 RMB/tCO2e. Overall, the hydropower and nuclear power generate relatively low unit abatement costs and big emission reduction capacities. Thus, China should focus on the development of these two types of new energy in the future.
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Research Advances on Economic Impacts of EU Aviation Carbon Trading
XU Xiaohu,MA Xiaoming,ZHANG Wen,WU Lingxiao
Acta Scientiarum Naturalium Universitatis Pekinensis   
Early Devonian Tectono-Magmatic Events in the Middle Beishan, Gansu Province: Evidence from Chronology and Geochemistry of Gongpoquan Granite
ZHENG Rongguo,WU Tairan,ZHANG Wen,XU Cao,MENG Qingpeng
Acta Scientiarum Naturalium Universitatis Pekinensis   
Geochronology and Geochemistry of Granite Pluton in the North of Qiaowan, Beishan Mountain, Gansu Province, China, and Its Geological Significance
FENG Jicheng,ZHANG Wen,WU Tairan,ZHENG Rongguo,LUO Hongling,HE Yuankai
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract662)      PDF(pc) (1165KB)(522)       Save
To deepen the understanding on tectonic evolution of Beishan Moutain, granite pluton which lies in the north of Qiaowan, northern margin of Dunhuang block (south belt of Beishan Mountain), Gansu province, is studied in geochronology and geochemistry. The hornblende granite contains a LA-ICP MS zircon U-Pb aged at 303.7±2.4 Ma. Its εHf(t) value varies from -1.2 to 5.8, εNd(t) value is high (-0.40 to -0.06), and (87Sr/86Sr)i (0.704524 to 0.705062) is relatively low. The pluton apparently belongs to sub-alkline and high-K cal-alkaline series (K2O is 4.09% to 5.58%, K2O/Na2O is 1.34 to 2.07) and shows as I-type granite with metaluminous-peraluminous characteristics for A/CNK is between 0.92 and 1.04. The hornblende granite pluton has LILE enrichment, especially rich in Pb, Rb, Th, and U, depleted in HFSE (Nb, Ta) obviously in spidergram. It also has a rich LREE and flat HREE in REE patterns with no or extremely weak Eu anomalies (δEu = 0.67 to 1.17). From the εHf(t), εNd(t) values and geochemical characteristics, it can be concluded that the pluton is a mixture of crustal and mantle derived magma. The mantle derived magma may be directly from anatexis magma in deep mantle and then underplate below the continental crust. Based on regional geology and the geochemical characteristics, the hornblende granite pluton in the north of Qiaowan was formed during post-collision period, which suggests the collision of Beishan Mountain is already finished in late Carboniforous.
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Ground Clutter Suppression of Wind Profiler Radar
ZHANG Wenwen,LIU Liping,RUAN Zheng,GE Runsheng
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract769)            Save
Aimed at the problems that the traditional echo simulation methods cannot well simulate the distribution of Gaussian white noise, and is not conducive to react the real echo signal as well, the authors improve the echo signal simulation method, and propose a method to removing ground clutter from wind profiler radar based on static wavelet transforms (SWT). The new methods can be applied to lower signal to clutter ratio (SCR) whose calculation amount is little more than traditional method based on discrete wavelet transforms (DWT) . The simulation results show the validity of the algorithm.
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Late Archean Continent-Continent Collision Event of Middle Segment of North Margin of North China Plate: Evidence from S-Type Granite of Hejiao Area
HE Yuankai,WU Tairan,LUO Hongling,ZHANG Wen
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract697)            Save
The study of Neoarchean S-type granite, with obvious tectonic significance, which lies in Hejiao area, Darhan Muminggan Lianheqi, Inner Mongolia, in major elements, trace elements and SHRIMP zircon U-Pb geochronology provided further evidence for understanding the nature of tectonic setting of the northern margin of North China plate at the end of Neoarchean. The major elements features of Hejiao granite indicate that it belongs to cal-alkaline series with strongly peraluminous characteristics and Rittman index σis between 0. 54 and 0. 57. The granite has high total rare earth elements (REE) values(243.8- 427. 1 μg/g), and enriches light REE relative to the heavy ones, and has negative anomalies characteristics in Eu ( ( La/ Yb)N = 14. 88-18. 18, Eu* / Eu = 0. 31- 0. 65) . In addition, it depletes high field strength elements( HFSE) , such as Nb, Ta, Zr, Hf and Ti. The trace elements characteristics of Hejiao granite reflect that it is formed under post-collisional tectonic setting and it is from normal thick continental crust in low pressure-high temperature conditions, which are similar to the formation conditions of Lachlan fold belt in Australia. The SHRIMP U-Pb zircon age of Hejiao granite is 2556 ±8 Ma. Strongly peraluminous S-type granite of Hej iao indicates that, in the end of Neoarchean, a continent-continent collision event probably occurred at the middle segment of north margin of North China plate, and that the sanukite with the same age in Guyang area, was possibly formed at post-collisional tectonic setting rather than subduction zone.
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Construction Fugitive PM10Emission and Its Influences on Air Quality in Guiyang
ZHANG Wenting,WANG Xuesong,LIU Zhaorong,ZHANG Yuanhan,SHAO Min,CHENG Qun,WU Degang,IAN Wei
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract686)            Save
To study influences of construction fugitive in Guiyang, construction fugitive PM10emission in 2002 was estimated based on an extensive survey of construction activities in Guiyang. The contribution of construction fugitive dust to ambient PM10was simulated using the CALPUFF model, and the seasonal variation as well as influencing factors were addressed. The results show that fugitive PM10emission from construction activities was up to 416 tons, accounting for 4% of all PM10 source emissions in the urban area of Guiyang. Construction fugitive dust showed great impact on the ambient PM10level in Guiyang, and contributed 12% to the annual mean concentration of PM10over the urban area. Significant seasonal variation of the contribution of construction fugitive dust was found due to the change of construction activities and meteorological conditions ( wind and precipitation).
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Kinetic Studies on Electrochemical Oxidation of Adrenaline to Adrenochrome
ZHANG Zhanjun,LI Jingjian,CAI Shengmin,WU Xizun,ZHANG Wenzhi
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract1147)            Save
The kinetic characteristics of the electrochemical oxidation of Adrenaline to adrenochrome was studied by UV-Vis Spectroscopy. The measurements showed that the electrooxidation of adrenaline to adrenochrome was typical of the first order reaction and the average apparent rate constant is 1.921×10-4s-1.
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Random Amplified Polymorfic DNA Analysis of Drosophila immigrans Geographic Strains
CHEN Yanru,XU Xiuhua,ZHAO Zhongming,ZHANG Wenxia,DAI Zhuohua
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract709)            Save
Random amplified Polymorphic DNA (RAPD) was used to reveal the variation among Seven Drosophila immigrans geographic strains. Based on the RAPD markers the genetic distance among seven geographic strains of D. immigrans were computed and a phylogenetic tree was constructed. We found that: 1) Among D. immigrans strains, MU was further away to other strains than the others for it is the only one from Japan. 2) Within Chinese geographic strains, HY, SP(from Qinling area) are collected at the nearest geographic area and height above sea level, so they have little genetic variation. Another two high elevation strains TS(from Taishan)and LZ(from Lan Zhou)went together with HY and SP. It seems that: Higher elevational D. immigrans strains have more genetic resemblance. This phenomena happened recently during D. immigrans' speciation.
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